Journal article
A big picture: bibliometric study of academic publications from post-Soviet countries
- Abstract:
- The world’s largest community of scientists disintegrated following the dissolution of the Soviet Union. With extremely scarce resources and limited academic freedom as starting points, researchers in this region have been creating new knowledge; they have been building on rich scientific traditions in selected disciplines and, at times, paving new paths in non-traditional disciplines. At present, the cumulative contribution of post-Soviet countries to global research output is only three percent, indicating that these countries are not key players on the global research scene. This study uses bibliometric methods to offer novel empirical insight into the quantity and impact of academic publications; it also looks at the quality of journals in which the output is published. The findings reveal that fifteen post-Soviet countries differ considerably in terms of how much they have prioritised research, as well as the quantity, quality, and impact of their publications. The research productivity across the region has not been high and, taken together, these countries have produced publications of considerably lower quality and lower impact when viewed in the context of global research output. At the same time, researchers from post-Soviet countries tap into international collaborative networks actively, resulting in an exceptionally large proportion of publications from this region being internationally co-authored. In the historical context of Soviet research being known as one of the least collaborative globally, this finding indicates that researchers in the region are attractive to international collaborators and may be seeking such partnerships due to relatively modest research capacity at home.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1007/s11192-021-04124-5
Authors
- Publisher:
- Springer
- Journal:
- Scientometrics More from this journal
- Volume:
- 126
- Issue:
- 10
- Pages:
- 8701–8730
- Publication date:
- 2021-08-18
- Acceptance date:
- 2021-07-26
- DOI:
- EISSN:
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1588-2861
- ISSN:
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0138-9130
- Language:
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English
- Keywords:
- Pubs id:
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1187618
- Local pid:
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pubs:1187618
- Deposit date:
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2021-07-27
Terms of use
- Copyright holder:
- Chankseliani et al.
- Copyright date:
- 2021
- Rights statement:
- © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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